https://www.wizdom.ai/

Your personal research assistant

overpopulation is just another intelligence test, and most people are failing, again.<br /> the problem is pacifism, the solution is permanent tribal warfare and legal serial murder.<br /> but first there is depopulation, killing 95% of today's population. fucking useless eaters... byye! no one will miss you.

Delete The Garbage. World Cure. RD9 Virus. The Brothers Grimsby 2016<br /> https://www.youtube.com/watch?v=HGG0Nq3BwqQ

https://hu.ma.ne/

The AI pin has just been listed o/a 2023-11-10.

—epilepticrabbit @epilepticrabbit@social.coop on Nov 09, 2023, 11:51 at https://mastodon.social/@epilepticrabbit@social.coop/111382329524902140

https://ailiteracy.fyi/

Doug Belshaw joint

In einem Brief wollen mehr als 100 britische Energieunternehmen Premierminister Rishi Sunak warnen von der aktuellen Dekarbonisierungspolitik abzugehen. Gerade erst hat ein Gutachten gezeigt, mit welchen Gefahren die zu große Abhängigkeit Großbritanniens von gaslieferungen verbunden ist. Für das net sirocil sind diesen Bericht zufolge 327 Milliarden Pfund Investitionen nötig Punkt bisher haben sich die Regierung aber nur zu gut 22,5 Milliarden Pfund verpflichtet. https://www.theguardian.com/environment/2023/jul/16/top-uk-energy-firms-to-warn-rishi-sunak-dont-back-off-green-agenda

Net Zero-Bericht von Chris Skidmore: https://www.gov.uk/government/publications/review-of-net-zero

Report des Office for Budget Stability: https://obr.uk/frs/fiscal-risks-and-sustainability-july-2023/#:~:text=In%20this%2C%20our%20second%20FRS,on%20the%20UK's%20public%20debt.

https://poe.com/

https://questy.ai/

As an ex-Viv (w/ Siri team) eng, let me help ease everyone's future trauma as well with the Fundamentals of Assisted Intelligence.<br><br>Make no mistake, OpenAI is building a new kind of computer, beyond just an LLM for a middleware / frontend. Key parts they'll need to pull it off:… https://t.co/uIbMChqRF9

— Rob Phillips 🤖🦾 (@iwasrobbed) October 29, 2023

https://www.theguardian.com/media/2023/oct/31/microsoft-accused-of-damaging-guardians-reputation-with-ai-generated-poll

https://www.nytimes.com/2023/10/27/business/media/reviewed-usa-today-ai-writers.html

https://www.cnn.com/2023/08/30/tech/gannett-ai-experiment-paused/index.html

https://www.washingtonpost.com/pr/wp/2016/08/05/the-washington-post-experiments-with-automated-storytelling-to-help-power-2016-rio-olympics-coverage/

Wang et. al. "Scientific discovery in the age of artificial intelligence", Nature, 2023.

A paper about the current state of using AI/ML for scientific discovery, connected with the AI4Science workshops at major conferences.

(NOTE: since Springer/Nature don't allow public pdfs to be linked without a paywall, we can't use hypothesis directly on the pdf of the paper, this link is to the website version of it which is what we'll use to guide discussion during the reading group.)

Three AI Chatbots, Two Books, and One Weird Annotation Experiment by Remi Kalir on September 29, 2023 https://remikalir.com/blog/three-ai-chatbots-two-books-and-one-weird-annotation-experiment/

An interesting divergent take on writing in library books...

https://typeshare.co/go-go-golems/posts/nobody-likes-boring-ai-content-how-to-write-unique-marketing-copy-with-chatgpt

https://typeshare.co/go-go-golems/posts/under-the-hood-how-to-use-chatgpts-attention-mechanism-for-better-prompts

Thank you. Steve, for raising the alarm on this catastrophe! One minor comment. It should be QC'ed, not QA'ed. Quality control is done first. Quality Assurance (QA) comes after QC. QA is basically checking the calculations and the test results in the batch records. I worked in QC and QA for big pharma for decades. I tried to warn people in early 2021 that there's no way the quality control testing could be done at warp speed. Nobody listened to me despite my decades of experience in big pharma!

"warp speed" sounds fancy, plus "its an emergency, we have no time"...

it really was just an intelligence test, a global-scale exploit of trust in authorities. (and lets be honest, stupid people deserve to die.)

problem is, they (elites, military, industry) seem to go for actual forced vaccinations, which would be an escalation from psychological warfare to actual warfare against the 95% "useless eaters".

personally, i would prefer if they would globally legalize serial murder and assault rifles, then "we the people" would solve the overpopulation. (because: serial murder is the only alternative to mass murder.) but they are scared that we would also kill the wrong people (their servants because they are evil or stupid). (anyone crying about depopulation should suggest better solutions. denying overpopulation is just another failed intelligence test.)

Are we stretching too far by saying that AI are currently emergent? Isn't this like saying that card indexes of the early 20th century are computers. In reality they were data storage and the "computing" took place when humans did the actual data processing/thinking to come up with new results.

Emergence would seem to actually be the point which comes about when the AI takes its own output and continues processing (successfully) on it.

https://aboard.com/

A card-based collaboration tool that leverages information visualization. Pinterest for collaborative teams with expandable data.

Looks interesting and I've got a beta invite, but not sure if it fits any of my needs, particularly with an eye toward note taking.

• for: bio-buddhism, buddhism - AI, care as the driver of intelligence, Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, care drive, care light cone, multiscale competency architecture of life, nonduality, no-self, self - illusion, self - constructed, self - deconstruction, Bodhisattva vow
• title: Biology, Buddhism, and AI: Care as the Driver of Intelligence
• author: Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, AI - ethics
• date: May 16, 2022

• source: https://www.mdpi.com/1099-4300/24/5/710/htm

• summary

  • a trans-disciplinary attempt to develop a framework to deal with a diversity of emerging non-traditional intelligence from new bio-engineered species to AI based on the Buddhist conception of care and compassion for the other.
  • very thought-provoking and some of the explanations and comparisons to evolution actually help to cast a new light on old Buddhist ideas.
  • this is a trans-disciplinary paper synthesizing Buddhist concepts with evolutionary biology

• for: wisdom and compassion, intelligence as care
• comment
  • the slogan "intelligence as care" seems parallel to the Buddhist slogan of "wisdom and compassion" where:
    • care is analogous to compassion
    • insight is analogous to wisdom

• for: key question
• key question
• paraphrase
  • Given that
    • intelligent behavior does not require traditional brains, and
    • can take place in many spaces besides the familiar 3D space of motile behavior, for example
      • physiological space,
      • metabolic space,
      • anatomical space, and
      • other kinds of problem spaces,
    • how can we develop rigorous formalisms for
      • recognizing,
      • designing, and
      • relating
    • to truly diverse intelligences?

• reference
  • Biology, Buddhism, and AI: Care as the Driver of Intelligence
    • https://www.mdpi.com/1099-4300/24/5/710/htm

• for: quote, quote - intelligence, major evolutionary transition, MET, quote - collective inteillgence, quote - Michael Levin
• quote
  • all intelligence is collective intelligence

• author: Michael Levin

• comment

  • Major evolutionary transition (MET) are milestones in evolution in which collections of distinct individual life forms unite into one cohesive collection due to improved fitness and begin to replicate as a new individual unit
  • hence the Deep Humanity term individual / collective gestalt, developed to deal with the level of human organisms and the societies and groups they belong to, applies to evolutionary biology as well through the MET where a new higher level individual is formed out of a collective of lower level indivdiuals

• for: paper overview, paper overview - the computational boundary of a self

• paper overview

  • motivated by 2018 Templeton Foundation conference to present idea on unconventional and diverse intelligence

  • Levin was interested in any conceivable type of cognitive system and was interested in find a way to universally characterize them all

    • how are they detected
    • how to understand them
    • how to relate to them and
    • how to create them

  • Levin had been thinking about this for years

  • Levin adopts a cybernetic definition of intelligence proposed by William James that focuses on the competency to reach a defined goal by different paths
  • Navigation plays a critical role in this defiinition.

• for: quote, quote - Michael Levin, quote - multicellular organism, quote individual/collective gestalt, individual/collective gestalt
• quote
  • If one zooms in, you find out that we are all in fact collective intelligence
• author: Michael Levin
• date: 2022
• source:https://www.youtube.com/watch?v=jLiHLDrOTW8

• for: superorganism, multi-level superorganism, collective intelligence, individual-collective gestalt, Michael Levin,

• title: Cell Intelligence in Physiological and Morphological Spaces

• author: Michael Levin
• date 2022
• comment
  • This is a talk on collective intelligence in unconventional spaces

https://www.theguardian.com/technology/2023/sep/01/mushroom-pickers-urged-to-avoid-foraging-books-on-amazon-that-appear-to-be-written-by-ai

https://openai.com/blog/teaching-with-ai

https://shindig.com/login/event/agifuture

https://www.britannica.com/topic/RUR

This may be an interesting use case for artificial intelligence tools like ChatGPT which can provide the reader of complex material with simplified synopses to allow better penetration of the material (potentially by removing jargon, argot, etc.)

He then pushes a button and "plays back" the opinion whenever it seems appropriate to do so. He has performed acceptably without having had to think.

This seems to be a reasonable argument to make for those who ask, why read? why take notes? especially when we can use search and artificial intelligence to do the work for us. Can we really?

https://medium.com/intelliboosters/is-tiago-fortes-build-a-second-brain-still-relevant-in-the-age-of-chatgpt-b7a7c5e8637c

These articles kill me. They sit at surface level and don't delve any deeper for actual insight. And this is why these techniques are necessary. (BTW, these methods go back thousands of years... Tiago didn't invent them.)

https://a16z.simplecast.com/episodes/a-true-second-brain-xrODaBD2

Recommended by Michael Grossman

https://claude.ai/onboarding

Kalir, Remi H. “Playing with Claude.” Academic blog. Remi Kalir (blog), August 25, 2023. https://remikalir.com/blog/playing-with-claude/.

https://claude.ai/

https://chat.openai.com/auth/login

https://openai.com/

&list=PLdAbfZfaH_1I0vD3GsgbIdsLp6id6AOUb&index=9

https://www.youtube.com/playlist?list=PLdAbfZfaH_1I0vD3GsgbIdsLp6id6AOUb

https://myessayfeedback.ai/

Mills, Anna, Maha Bali, and Lance Eaton. “How Do We Respond to Generative AI in Education? Open Educational Practices Give Us a Framework for an Ongoing Process.” Journal of Applied Learning and Teaching 6, no. 1 (June 11, 2023): 16–30. https://doi.org/10.37074/jalt.2023.6.1.34.

Annotation url: urn:x-pdf:bb16e6f65a326e4089ed46b15987c1e7

Search: https://jonudell.info/h/facet/?user=chrisaldrich&max=100&exactTagSearch=true&expanded=true&addQuoteContext=true&url=urn%3Ax-pdf%3Abb16e6f65a326e4089ed46b15987c1e7

What does open education tell us about AI in academia?

This is one of the things that doesn't seem to be being explored enough presently, or at least I'm not seeing it outside of the SAG and WGA strikes where it seems to be a side issue rather than a primary issue.

https://textfx.withgoogle.com/

A Generative AI Primer on 2023-08-15 by Brian Basgen

ᔥGeoff Corb in LinkedIn update (accessed:: 2023-08-26 01:34:45)

Epstein, Ziv, Hertzmann, Aaron, Herman, Laura, Mahari, Robert, Frank, Morgan R., Groh, Matthew, Schroeder, Hope et al. "Art and the science of generative AI: A deeper dive." ArXiv, (2023). Accessed July 21, 2023. https://doi.org/10.1126/science.adh4451.

Abstract

A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.

• There are people who are designing systems to prioritize augmenting human intelligence and use machines to assist us
• For instance, it was the vision of Doug Engelbart

Im ersten Jahr nach der Invasion der Ukraine im Februar 2022 hat Großbritannien für 19,3 Milliarden Pfund Öl und Gas aus anderen autoritären Petrostaaten als Russland bezogen. Eine Analyse von Desmog ergibt, dass Großbritannien in diesem Jahr für 125,7 Milliarden Pfund fossile Brennstoffe importiert und damit zum ersten Mal die 100-Milliarden-Grenze überschritten hat, obwohl eine Reduktion des Verbrauchs von Öl und Gas dringend nötig ist. Trotz des Embargos verkaufte auch Russland eine Rekordmenge an Öl in diesem Jahr. https://www.theguardian.com/environment/2023/jun/09/193bn-of-fossil-fuels-imported-by-uk-from-authoritarian-states-in-year-since-ukraine-war

AI has recently become such a big thing in our lives today. For a while I was seeing chatgpt and snapchat AI all over the media. I feel like people ask these sites stupid questions that they already know the answer too because they don't want to take a few minutes to think about the answer. I found a website stating how many people use AI and not surprisingly, it shows that 27% of Americans say they use it several times a day. I can't imagine how many people use it per year.

• limited (machine) intelligence

  • cannot help but exist
  • if the original (human) authors of the AI code are themselves limited in their intelligence

• comment

  • this limitation is essentially what will result in AI progress traps
  • Indeed,
    • progress and their shadow artefacts,
    • progress traps,
    • is the proper framework to analyze the existential dilemma posed by AI

OEG Live: Audiobook Versions of OER Textbooks (and AI Implications)

Host: Alan Levine<br /> Panelists: Brian Barrick (LA Harbor College), Delmar Larsen, Brenna, Jonathan, Amanda Grey (KPU), Steel Wagstaff (Pressbooks).

Find out more information and discuss this topic on OEG Connect: https://oeg.pub/439V1Bc

writeout.ai

Recommended by Steel Wagstaff at OEG Live 2023-06-02.

Project Tailwind by Steven Johnson

This sounds like the sort of personalized AI tool I've been wishing for since the early ChatGPT models if not from even earlier dreams that predate that....

[29] AI - Deep Learning

[28] AI - precedents...

[25] AI - Alignment

[24] AI - Bias in Training Materials

[21] AI - Skills Erosion

[21] AI Nuances

[20] AI - Alignment Goals

[19] AI - Legal Response

[18] AI - Increased sophistication

https://xtiles.app/62e9167a308426236b1d2b91 https://xtiles.app/62c29d1866533a18d0717564

Presumably this is part of xTiles' planning for various personas and strategy.

https://xtiles.app/6249b3f811d8db0dcd173512

Fascinating to see an xTiles page named "competitive analysis", but an interesting example of "eating their own dogfood" to make it.

https://bard.google.com/

https://thoughtful.sandbox.google.com/about

https://hamlet.andromedayelton.com/

• Given a thesis, find out which other theses are most conceptually similar.

MACHINE LEARNING FOR STOCK PRICES FORECASTING

Is there a word or phrase in the advertising space which covers the filtering out of websites and networks which have objectionable material one doesn't want their content running against?

Contextual intelligence seems to be one...

Apparently the platforms Verity and Grapeshot (from Oracle) protect against this.

Tagging and linking with AI (Napkin.one) by Nicole van der Hoeven

https://www.youtube.com/watch?v=p2E3gRXiLYY

Nicole underlines the value of a good user interface for traversing one's notes. She'd had issues with tagging things in Obsidian using their #tag functionality, but never with their [[WikiLink]] functionality. Something about the autotagging done by Napkin's artificial intelligence makes the process easier for her. Some of this may be down to how their user interface makes it easier/more intuitive as well as how it changes and presents related notes in succession.

Most interesting however is the visual presentation of notes and tags in conjunction with an outliner for taking one's notes and composing a draft using drag and drop.

Napkin as a visual layer over tooling like Obsidian, Logseq, et. al. would be a much more compelling choice for me in terms of taking my pre-existing data and doing something useful with it rather than just creating yet another digital copy of all my things (and potentially needing sync to keep them up to date).

What is Napkin doing with all of their user's data?

Abstract

Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other artworks. This Legal Sidebar explores questions that courts and the U.S. Copyright Office have begun to confront regarding whether the outputs of generative AI programs are entitled to copyright protection as well as how training and using these programs might infringe copyrights in other works.

This isn't true. The Stochastic Parrots paper outlines other avenues for reining in the harms of language models like GPT's.

I think intelligence has always been a determining factor of success. When someone is smart or intelligent we tend to assume that they will be successful in life. I think this is important to the history of psychology because we have been determined on trying to understand intelligence and then we were grading intelligence based off the score they were getting. We were discussing how intelligence differs across people and that people that were feeble-minded were potential criminals. We discussed how superiors become leaders and lead civilization.

I think this is interesting because they are saying that intelligence testing could be used to determine job positions. I agree that employing a psychologist to examine applications for positions would be beneficial because the employer doesn't have to worry about certain things the psychologist would look for. I agree that using a psychologist to weed people out of decision of employment could be effective because many people are applying, but the employers only want certain people for that job. I think this is relevant to the history of psychology because there are some companies who use people to determine who is deemed fit for the company, and this is what they wanted to start doing so they could find the best employees for that particular job.

I think this is interesting because they had thought that under the right conditions that children would be equally, or almost equally, capable of making satisfactory school progress, but they made a discovery that not all children are equal or almost equal. There are different grades of intelligence depending on the person because everyone is different. This is important to the history of psychology because there has now been a discovery of different grades of intelligence. They used to think that children had an equal intelligence or almost equal but there are many different grades of intelligence grading from idiocy to average to genius. We still utilize the grades of intelligence today, but the grades are categorized differently such as idiocy being extremely low on the intelligence scale and genius being very superior. We have changed the name of the grades of intelligence.

I think this is interesting because we have used intelligence testing back then to try and understand how intelligence is measured. Today we still use many different types of intelligence testing such as the Stanford-Binet Intelligence scale and the IQ test which are used to measure intelligence. I was thinking that the STAAR test is a way to measure intelligence, but when I looked it up, it states "No, STAAR tests do not measure a student's intelligence the way they should" (Breuer, 2020). The use of intelligence testing can help diagnose intellectual disabilities or someone's intellectual potential.

Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922.

Would the argument here for stochastic parrots also potentially apply to or could it be abstracted to Markov monkeys?

A.I. Is Mastering Language. Should We Trust What It Says?<br /> by Steven Johnson, art by Nikita Iziev

Johnson does a good job of looking at the basic state of artificial intelligence and the history of large language models and specifically ChatGPT and asks some interesting ethical questions, but in a way which may not prompt any actual change.

When we write about technology and the benefits and wealth it might bring, do we do too much ethics washing to help paper over the problems to help bring the bad things too easily to pass?

Is language acquisition a very complex method of pattern recognition?

This is certainly "a way", but history has shown, particularly in the United States, that government regulation is unlikely to get involved at all until it's far too late, if at all. Typically they're only regulating not only after maturity, but only when massive failure may cause issues for the wealthy and then the "regulation" is to bail them out.

Suggesting this here is so pie-in-the sky that it only creates a false hope (hope washing?) for the powerless. Is this sort of hope washing a recurring part of

Who get's to make decisions?

A similar set of questions might be asked of our political system. At present, the oligopolic nature of our electoral system is heavily biasing our direction as a country.

We're heavily underrepresented on a huge number of axes.

How would we change our voting and representation systems to better represent us?

What features would be design society towards? Stability? Freedom? Wealth? Tolerance?

How might long term evolution work for societies that maximized for tolerance given Popper's paradox of tolerance?

Impromptu: Amplifying Our Humanity Through AI by Reid Hoffman

via Friends of the Link

Primary care physician Gavin Francis reviews two books on the importance of forgetting, as part of a larger reflection on memory.

Leveraging Social Annotation in the Age of AI : Hypothesis

Slides for this presentation: https://docs.google.com/presentation/d/1wOmZiAKWsXru1Uv7_nH5S3KDCYHtdBiZYb1_ab58yeA/edit#slide=id.g15258ea6415_0_78

Video<br /> https://www.youtube.com/watch?v=f5fqPirbb64

Annotation and AI Starter Assignments<br /> by Jeremy Dean

• students as fact-checkers
• students as content experts
• students as editors

see also: https://web.hypothes.is/annotation-and-ai-starter-assignments/

Not Skynet, but social disruption

https://openai.com/blog/chatgpt

Sam Matla talks about the collector's fallacy in a negative light, and for many/most, he might be right. But for some, collecting examples and evidence of particular things is crucially important. The key is to have some idea of what you're collecting and why.

Historians collecting small facts over time may seem this way, but out of their collection can emerge patterns which otherwise would never have been seen.

cf: Keith Thomas article

concrete examples of this to show the opposite?

Relationship to the idea of AI coming up with black box solutions via their own method of diffuse thinking

• Comment
  • the power of the mind can indeed be extended,
  • but without the simultaneous extension of the power of the heart,
    • https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=Jan%2Bsmuts
  • We will only create destructive technologies with ever greater efficiency
  • that is is why the next major evolutionary transition
  • must involve compassion and the rediscovery of the sacred
  • which this journey of life has blinded us to
  • The next great evolutionary shift must be conscious cultural evolution
    • https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=Jan%2Bsmuts
  • that is the direction civilization must collectively move
  • if civilization itself is to have a chance of surviving
  • emotional intelligence needs to balance intellectual intelligence

Despite the affordances of recording, searching, tagging made by computerized note taking systems, the problem still remains what to search for or collect and how to relate the smaller parts to the whole.